基于优化遗传算法的认知无线网络底层频谱分配

Rixing Huang, Jie Chang, Yi Ren, Feng He, Chun Guan
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引用次数: 6

摘要

通过对认知无线网络物理连接的分析,提出了用于底层频谱分配的底层颜色敏感图着色(UCSGC)模型。经分析,色敏图着色(CSGC)是一种特殊的UCSGC。在此模型下,提出了一种优化遗传算法(OGA),使网络的效益最大化。该算法不仅具有收敛性,而且可以通过随机添加个体来避免剩余的局部最优。最后,通过实验验证了该方法的有效性。
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Spectrum allocation of cognitive radio network based on optimized genetic algorithm in underlay network
By analyzing physical connection of cognitive radio network, underlay color-sensitive graph coloring (UCSGC) model which is used in underlay spectrum allocation is proposed here. After analyzing, color-sensitive graph coloring (CSGC) is a special UCSGC. Under the model, this paper gives an Optimized Genetic Algorithm (OGA) to maximize the benefits of the network. The algorithm not only is convergent, but can avoid the remaining local optima by randomly adding the individuals. Finally, the proposed method was demonstrated by the experimental results.
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